相似性(几何)
特征(语言学)
计算机科学
药物靶点
人工智能
鉴定(生物学)
机器学习
数据挖掘
模式识别(心理学)
生物
哲学
语言学
植物
药理学
图像(数学)
作者
Kanica Sachdev,Manoj Kumar Gupta
出处
期刊:Intelligent systems reference library
日期:2021-07-14
卷期号:: 239-252
被引量:1
标识
DOI:10.1007/978-3-030-76732-7_11
摘要
Drug target interaction is the communication between the drug compounds and the proteins present in the human body. The laboratory experiments to verify the drug protein interactions consume a lot of time and are expensive. This creates the requirement of introducing computational approaches for identifying the drug target interactions. The computational approaches that have been introduced for predicting the interactions have broadly been classified into similarity based techniques and feature based techniques. This paper defines the various similarity based as well as the feature based techniques for drug target interaction identification. It highlights the state of the art methods in each category. It also presents a discussion on the comparison of the various categories of similarity and feature based techniques. It also demonstrates their comparison with each other, their merits and demerits.
科研通智能强力驱动
Strongly Powered by AbleSci AI